{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_data = []\n",
    "y_data = []\n",
    "with open('crossin-data.txt') as f:\n",
    "    for line in f:\n",
    "        k, v = line.split()\n",
    "        x_data.append(datetime.datetime.strptime(k,'%m/%d/%y'))\n",
    "        y_data.append(int(v))\n",
    "\n",
    "#显示图形\n",
    "%matplotlib inline \n",
    "# 设置matplotlib正常显示中文和负号\n",
    "# matplotlib.rcParams['font.sans-serif']=['SimHei']   # 用黑体显示中文\n",
    "plt.rcParams['font.sans-serif']=['Songti SC']   # Mac\n",
    "plt.rcParams['axes.unicode_minus']=False     # 正常显示负号\n",
    "plt.rcParams['figure.figsize'] = (16.0, 12.0) # 设置figure_size尺寸\n",
    "\n",
    "plt.title('编程教室用户增长曲线')\n",
    "plt.xlabel('日期')\n",
    "plt.ylabel('关注数')\n",
    "plt.plot(x_data, y_data,'g')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           4             3          2\n",
      "3.231e-08 x - 6.945e-05 x + 0.0682 x - 6.821 x + 4855\n",
      "4次多项式拟合: 2636.707061580023 1957.3866557110578 0.9922689246446241\n",
      "2021-03-12 00:00:00\n",
      "\n",
      "           5             4             3         2\n",
      "1.063e-10 x - 4.202e-07 x + 0.0006154 x - 0.369 x + 99.41 x - 1150\n",
      "5次多项式拟合: 1901.3424399387263 1519.0128417968463 0.9959799002786824\n",
      "2019-12-12 00:00:00\n",
      "\n",
      "           6             5             4            3          2\n",
      "2.068e-13 x - 9.501e-10 x + 1.624e-06 x - 0.001241 x + 0.4206 x - 34.82 x + 4261\n",
      "6次多项式拟合: 1143.1473206979006 748.0874763084623 0.9985468162013074\n",
      "2019-05-16 00:00:00\n",
      "\n",
      "           7             6             5             4             3\n",
      "1.799e-16 x - 8.654e-13 x + 1.578e-09 x - 1.365e-06 x + 0.0006094 x\n",
      "           2\n",
      " - 0.1459 x + 36.46 x + 2110\n",
      "7次多项式拟合: 994.0367305758567 507.13890521707606 0.9989011940402005\n",
      "2019-03-06 00:00:00\n",
      "\n",
      "            8             7             6             5             4\n",
      "-1.462e-20 x + 2.795e-16 x - 1.142e-12 x + 1.982e-09 x - 1.696e-06 x\n",
      "              3          2\n",
      " + 0.0007595 x - 0.1807 x + 39.84 x + 2031\n",
      "8次多项式拟合: 993.8438692232942 510.03004965980205 0.9989016203758463\n",
      "2019-03-11 00:00:00\n",
      "\n",
      "(array([3.23606891e+03, 2.10324354e-03, 2.01962709e+03]), 1)\n",
      "e为底的指数拟合 2681.9493849470355 1721.5200013183255 0.9920013388959401\n",
      "2020-12-16 00:00:00\n",
      "\n",
      "(array([7.19628465e-06, 3.14675789e+00, 8.04473274e+03]), 1)\n",
      "幂函数拟合 3461.618922045982 2440.167819463712 0.9866747718354473\n",
      "2022-12-28 00:00:00\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-05-27 00:00:00\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.optimize import leastsq\n",
    "from sklearn import metrics\n",
    "from math import sqrt\n",
    "\n",
    "x_np = np.array([(d - x_data[0]).days for d in x_data])\n",
    "y_np = np.array(y_data).astype(np.int64)\n",
    "x_fit = np.array(range(1, 3500))\n",
    "\n",
    "plt.figure(figsize=(10, 10))\n",
    "axes = plt.gca()\n",
    "axes.set_ylim([0, 1100000])\n",
    "\n",
    "n = 0\n",
    "\n",
    "for k in range(4, 9):\n",
    "    coeff = np.polyfit(x_np, y_np, k)\n",
    "    poly = np.poly1d(coeff)\n",
    "    print(poly)\n",
    "\n",
    "    y_fit = poly(x_fit)\n",
    "    plt.plot(x_fit, y_fit, ':', label='%d次多项式拟合' % k)\n",
    "\n",
    "    rmse = sqrt(metrics.mean_squared_error(y_np, poly(x_np)))\n",
    "    mae = metrics.mean_absolute_error(y_np, poly(x_np))\n",
    "    r2 = metrics.r2_score(y_np, poly(x_np))\n",
    "    print('%d次多项式拟合:' % k, rmse, mae, r2)    \n",
    "    try:\n",
    "        day100 = np.where(y_fit > 1000000)[0][0]\n",
    "        n += day100\n",
    "        print(datetime.timedelta(days=int(day100)) + x_data[0])\n",
    "    except:\n",
    "        print('没达到')\n",
    "    print()\n",
    "\n",
    "# exp^x\n",
    "def func_exp(x, p):\n",
    "    a,b,c = p\n",
    "    return a * np.exp(b * x) + c\n",
    "\n",
    "# x^a\n",
    "def func_pow(x, p):\n",
    "    a,b,c = p\n",
    "    return a * x ** b + c\n",
    "\n",
    "def fit(func, pe, title):\n",
    "    global n\n",
    "    def residuals(p, y, x):\n",
    "        return y - func(x, p)\n",
    "\n",
    "    plsq = leastsq(residuals, pe, args=(y_np, x_np))\n",
    "    print(plsq)\n",
    "    \n",
    "    y_fit = func(x_fit, plsq[0])\n",
    "    plt.plot(x_fit, y_fit, label=title)\n",
    "\n",
    "    rmse = sqrt(metrics.mean_squared_error(y_np, func(x_np, plsq[0])))\n",
    "    mae = metrics.mean_absolute_error(y_np, func(x_np, plsq[0]))\n",
    "    r2 = metrics.r2_score(y_np, func(x_np, plsq[0]))\n",
    "    print(title, rmse, mae, r2)\n",
    "    day100 = np.where(y_fit > 1000000)[0][0]\n",
    "    n += day100\n",
    "    print(datetime.timedelta(days=int(day100)) + x_data[0])\n",
    "    print()\n",
    "\n",
    "fit(func_exp, [1, 0.0001, 1], 'e为底的指数拟合')\n",
    "fit(func_pow, [1, 1, 1], '幂函数拟合')\n",
    "\n",
    "# 原曲线\n",
    "plt.plot(x_np, y_np, 'r', label='原始数据')\n",
    "plt.axhline(1000000, ls=':', color='r')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(datetime.timedelta(days=int(n/7)) + x_data[0])"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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